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多维蛋白质鉴定技术(MudPIT)对尿液外泌体的蛋白质组学分析。

Proteomic analysis of urine exosomes by multidimensional protein identification technology (MudPIT).

机构信息

Department of Biochemistry, Vanderbilt University, Nashville, TN 37232, USA.

出版信息

Proteomics. 2012 Jan;12(2):329-38. doi: 10.1002/pmic.201100477. Epub 2011 Dec 16.

Abstract

Exosomes are membrane vesicles that are secreted by cells upon fusion of multivesicular bodies with the plasma membrane. Exosomal proteomics has emerged as a powerful approach to understand the molecular composition of exosomes and has potential to accelerate biomarker discovery. Different proteomic analysis methods have been previously employed to establish several exosome protein databases. In this study, TFE solution-phase digestion was compared with in-gel digestion and found to yield similar results. Proteomic analysis of urinary exosomes was performed by multidimensional protein identification technology (MudPIT) after TFE digestion. Nearly, 3280 proteins were identified from nine human urine samples with 31% overlap among nine samples. Gene ontology (GO) analysis, coupled with detection of all of the members of ESCRT machinery complex, supports the multivesicular origin of these particles. These results significantly expand the existing database of urinary exosome proteins. Our results also indicate that more than 1000 proteins can be detected from exosomes prepared from as little as 25 mL of urine. This study provides the largest set of proteins present in human urinary exosome proteomes, provides a valuable reference for future studies, and provides methods that can be applied to exosomal proteomic analysis from other tissue sources.

摘要

外泌体是细胞通过多泡体与质膜融合后分泌的膜囊泡。外泌体蛋白质组学已成为了解外泌体分子组成的有力方法,并有可能加速生物标志物的发现。先前已经使用了不同的蛋白质组学分析方法来建立几个外泌体蛋白质数据库。在这项研究中,TFE 溶液相消化与胶内消化进行了比较,发现两者产生了相似的结果。TFE 消化后,通过多维蛋白质鉴定技术(MudPIT)对尿外泌体进行了蛋白质组学分析。从 9 个人类尿液样本中鉴定出近 3280 种蛋白质,9 个样本中有 31%重叠。GO 分析,加上检测所有 ESCRT 机械复合体的成员,支持这些颗粒的多泡体起源。这些结果显著扩展了现有的尿外泌体蛋白质数据库。我们的结果还表明,从 25 毫升尿液中提取的外泌体中可以检测到超过 1000 种蛋白质。本研究提供了人类尿外泌体蛋白质组中存在的最大蛋白质组数据集,为未来的研究提供了有价值的参考,并提供了可应用于其他组织来源外泌体蛋白质组分析的方法。

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